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Wireless Body Area Sensor Network Authentication Using Voronoi Diagram of Retinal Vascular Pattern

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Abstract

This paper focuses on the problem of human authentication in Body Area Sensor Network using retina. In this proposed method, Voronoi Diagram (VD), a well known technique in computational geometry, is generated from the topological structure of the bifurcation points, considered as vertices, obtained from the blood vessels found in the retina which can further be used in the process of identification and verification. Since the structure formed by bifurcation points is unique in every retina, hence the calculated VD is also unique and provides the foundation of developing the system of retina based identification. The approach presented in this paper rejects any non-similar retina instantly while maintaining excellent accuracy and performance. Another advantage of using this approach is that it does not require the localization of Optic Disc and the Fovea, which most of the existing algorithms have required, and, experimental results proved that VD is efficient in template matching and storage requirements. Additionally, our proposed algorithm is invariant against any geometric transformation (i.e. scaling, translation and rotation).

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Acknowledgments

This work is supported by Mehran University of Engineering and Technology, Jamshoro—Pakistan, and Usman Institute of Technology—Pakistan.

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Authors and Affiliations

  1. Mehran University of Engineering and Technology, Jamshoro, Pakistan

    M. Ghazanfar Ullah, B. S. Chowdhary, A. Q. Rajput, Ahsan A. Ursani & S. Latif

  2. Department of Electrical Engineering, Usman Institute of Technology, Karachi, Pakistan

    M. Ghazanfar Ullah & S. Latif

  3. The University of Faisalabad, Faisalabad, Pakistan

    A. K. Baloch

Authors
  1. M. Ghazanfar Ullah
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  2. B. S. Chowdhary
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  3. A. Q. Rajput
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  4. A. K. Baloch
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  5. Ahsan A. Ursani
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  6. S. Latif
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Correspondence to M. Ghazanfar Ullah.

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Ullah, M.G., Chowdhary, B.S., Rajput, A.Q. et al. Wireless Body Area Sensor Network Authentication Using Voronoi Diagram of Retinal Vascular Pattern. Wireless Pers Commun 76, 579–589 (2014). https://doi.org/10.1007/s11277-014-1726-y

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  • DOI: https://doi.org/10.1007/s11277-014-1726-y

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